Sr Analytics Architect

Cengage Group; Portland (OR); On-site; USD 77,100 - 123,300; Full time

Job summary

Cengage Group is seeking a senior Analytics Architect in Portland, OR. Lead enterprise data solutions, cloud pipelines, governance, and modeling to enable data-driven decisions across the business.

The role emphasizes hands-on work with IICS, Snowflake, SQL, Python, and BI tools, collaborating with cross‑functional teams to modernize platforms and ensure reliability.

Qualifications

• Minimum 10 years in data architecture, engineering, or enterprise data platforms.
• Demonstrated Analytics/Data Architect experience or similar role.
• Strong hands-on with IICS and Snowflake.
• Experience building and improving cloud ETL/ELT pipelines.
• Solid cloud data architecture and warehousing concepts.
• Proficient in data modeling, SQL, and warehousing.
• Strong Python for automation, scripting, APIs, data tasks.
• Solid knowledge of Tableau/Power BI for analytics.
• A record of delivering data-driven solutions with minimal oversight.
• Experience integrating data from S/4HANA & Salesforce.

Responsibilities

• Build and implement world-class analytics solutions to solve complex business challenges.
• Architect and implement modern cloud-based analytics solutions to improve business outcomes.
• Learn, document, support, and maintain existing enterprise data pipelines and integration frameworks built on IICS and Snowflake.
• Design, build, and implement new scalable data pipelines for ingestion, transformation, integration, and delivery of structured and unstructured data.
• Analyze existing data flows, transformations, and dependencies to support future enhancements, operational improvements, and production bug fixes.
• Build and maintain scalable data models supporting downstream analytics and business operations.
• Ensure data quality, integrity, governance, and lineage across enterprise data platforms.
• Support data governance initiatives by documenting how datasets are sourced, transformed, integrated, and consumed.
• Supervise and improve platform reliability, operational efficiency, and pipeline performance.
• Develop reusable frameworks, standards, and guidelines for enterprise data engineering and architecture.
• Collaborate with multi‑functional teams to support ongoing platform modernization and operational stability.

Skills

Data modeling

SQL

Python

Tableau

Power BI

Snowflake

Informatica IICS

Education

Bachelor's degree in Computer Science or related field

Tools

Informatica IICS

Snowflake

Job description

Responsibilities

• Build and implement world‑class analytics solutions to solve complex business challenges.
• Architect and implement modern cloud‑based analytics solutions to improve business outcomes.
• Learn, document, support, and maintain existing enterprise data pipelines and integration frameworks built on Informatica Intelligent Cloud Services (IICS) and Snowflake.
• Design, build, and implement new scalable data pipelines for ingestion, transformation, integration, and delivery of structured and unstructured data.
• Analyze existing data flows, transformations, and dependencies to support future enhancements, operational improvements, and production bug fixes.
• Build and maintain scalable data models supporting downstream analytics and business operations.
• Ensure data quality, integrity, governance, and lineage across enterprise data platforms.
• Support data governance initiatives by documenting how datasets are sourced, transformed, integrated, and consumed.
• Supervise and improve platform reliability, operational efficiency, and pipeline performance.
• Develop reusable frameworks, standards, and guidelines for enterprise data engineering and architecture.
• Collaborate with multi‑functional teams to support ongoing platform modernization and operational stability.

Qualifications

• Minimum 10 years of experience in data architecture, data engineering, or enterprise data platform development.
• Demonstrable experience working as an Analytics / Data Architect or in a similar role.
• Strong hands‑on expertise with Informatica Intelligent Cloud Services (IICS) and Snowflake.
• Experience building, improving and supporting enterprise data pipelines and cloud‑based ETL/ELT integration frameworks.
• Solid understanding of modern cloud data architecture and enterprise data warehousing concepts.
• Outstanding proficiency in data modeling, SQL, and data warehousing.
• Strong Python programming skills for automation, scripting, API integration, and data engineering tasks are required.
• Solid grasp of analytics and data visualization platforms (e.g., Tableau, Power BI).
• A track record of delivering high‑quality, data‑driven solutions with minimal oversight.
• Experience in integrating data from enterprise platforms like S/4HANA & Salesforce.
• Familiarity with cloud computing platforms and modern data architecture principles.
• Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent experience.
• Excellent analytical, problem‑solving, and fix capabilities.
• Strong verbal and written communication skills with the ability to communicate effectively with both technical and business audiences.

Compensation

Base pay range: $77,100.00 - $123,300.00 USD.

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Cengage is committed to working with broad talent pools to attract and hire strong and most qualified individuals. Applicants are considered regardless of any classification protected by applicable federal, state, provincial or local laws.

Cengage is also committed to providing reasonable accommodations for qualified individuals with disabilities throughout the job application process. If you are an applicant with a disability and require reasonable accommodation, please contact [e-mail].